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What you will learn

Understand and implement the basic graphics syntax and techniques

Create scatterplots and line plots, and include mathematical expressions in them

Include more advanced graphics and color palettes in your graph

Create and customize graphs using the qplot function

Customize the graphics, backgrounds, sizes, and colors of your graph using ggplot

Add layers to your graph using ggplot

Make publicationquality graphs using ggplot

What do you get with Print?

Instant access to your digital copy whilst your Print order is Shipped

Paperback book shipped to your preferred address

Redeem a companion digital copy on all Print orders

Access this title in our online reader with advanced features

DRM FREE - Read whenever, wherever and however you want

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A. Zubarev Oct 19, 2014

R as a language has experienced an explosion in adoption in the last several years, and this is despite the proliferation of the spreadheet applications, most notably the Microsoft’s Excel. Besides, R Bloggers came up with a 14 bullet points list explaining why. While I do not agree with all the 14 points I admit that R has many unique capabilities, and one of them is its graphing (or charting, if you wish). R Graph Essentials is the book that aims straight at this strength making you very proficient in producing useful, awesomely looking and most importantly professional grade plots, charts or graphs.I must say Having David Alexander (the author) on board with you means you are bound to success, I liked his style of writing a lot. David possesses all the necessary skills to cover such a wide topic efficiently, accurately and comprehensively. I admit I had little issues producing most of the plots from the book. On one occasion only I got stuck with qplot not working, but Packt and the awesome R community on G+ replied quickly putting me back on tracks to charting by explaining that I need to install ggplot2. A big thank you!I advocate the book is best read with your R Studio humming alongside as you will have a ton of fun producing interesting graphs. And it is not important if you run a Linux or Windows.It was very convenient to have the datasets used for examples saved for later use (I recommend R Studio as one of the reasons as saving the state between sessions in it is trivial). The topics I wish the author could cover is how to put the graphics on the web and make the data obtained from a database, but the book explains how to get your data from files.In terms of closing, I have to say I benefited a lot from this book. As I work with data most of my time I was able to produce super nice histograms of table data (off flat files) which helped me get better insight into the selectivity of my data and this resulted in better and mew indexes yet some indexes even were removed in our SQL Server databases.My next to do as pet project is to visualize data movements. I trust it will be a lot of fun and this is all thanks to this book.Five out of five!

Amazon Verified review

Mariano Rico Dec 02, 2014

At last a nice explanation of the whole R graph system. It is especially interesting qplot, the basic framework to create packages like ggplot2. Also you have a good review of the classical plot() functions. Although plot() provides simpler graphs (compared, for instance, to ggplot2) you can achieve functionality that ggplot2 does not have, for instance, two y-axis graphs or nice fillings for black&white figures. With this book you can learn how to create your own data visualizations (graphs).A good recommendation despite its short length (180 pages).

W Boudville Oct 10, 2014

Congratulations on making it this far! Yes, I kid you not. If you are reading my review, then you already know R or know about it. R is now the de facto statistical package favoured by many maths departments throughout the world. What this means is that the researchers in those departments often write and debug the subroutines in R. All for free, as far as you are concerned. So looking at R is a good choice. But given that you are dealing with possibly large data, graphics routines are essential. The book focuses on what comes with R. The base set of graphics.We see that simple plotting of curves is available. Along with scatter plots and various histograms. The R code to generate those figures is short. Yes, it is programming, but you do not need prior knowledge of a fully fledged computer language like C or java. The R language is quicker to learn.The graphics examples in the book are nothing different or new from what any statistics text might show. Instead, it shows how R Graph can be equivalent to other packages like Mathematica, Maple, SAS, Splus etc. Those have been around much longer, but typically are not free.The book is not meant to teach stats graphics per se. So if you are also learning that, consider getting a pure text on it and then also use this Lillis book to aid in actually drawing some graphs.

Daniel Strassburger Dec 10, 2014

I highly recommend this text. This book will take you from analyzing to visualizing data in no time. Truly. Lillis does a superb job of breaking down the, all too often unnecessarily complex, syntax so the reader can fully understand how each component of code affects the output. As a PhD student in Social Psychology and earning a minor in Statistics, I can deeply appreciate the practical applications of each of the graphing tutorials Lillis has chosen to include in this text. For those readers who are eager to extend their skill set beyond base R graphics, Lillis introduces the reader to the grammar of ggplot - a highly customizable system of producing graphs. Because of its concise, accurate, practical examples and explanations, this text will proudly sit atop my list of resources as I continue to develop my skills when visualizing statistical analyses. More information about this text (including supplemental files) can be found at the publisher's website here: http://bit.ly/ZvZQDS

R Graph Essentials:

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